차량도어 조립공차 예측기술 개발An Advanced Prediction Technology of Assembly Tolerance for Vehicle Door
- Other Titles
- An Advanced Prediction Technology of Assembly Tolerance for Vehicle Door
- Authors
- 정남용; 조진형; 오현승; 이세재
- Issue Date
- 2018
- Publisher
- 한국산업경영시스템학회
- Keywords
- Assembly Tolerance; Hinge; Vehicle Door; Gap and Level Difference; Flushness; CAE Analysis
- Citation
- 한국산업경영시스템학회지, v.41, no.4, pp.91 - 100
- Journal Title
- 한국산업경영시스템학회지
- Volume
- 41
- Number
- 4
- Start Page
- 91
- End Page
- 100
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/356
- ISSN
- 2005-0461
- Abstract
- The setting of values on door hinge mounting compensation for door assembly tolerance is a constant quality issue in vehicle production. Generally, heuristic methods are used in satisfying appropriate door gap and level difference, flushness to improve quality. However, these methods are influenced by the engineer's skills and working environment and result an increasement of development costs. In order to solve these problems, the system which suggests hinge mounting compensation value using CAE (Computer Aided Engineering) analysis is proposed in this study. A structural analysis model was constructed to predict the door gap and level difference, flushness through CAE based on CAD (Computer Aided Design) data. The deformations of 6-degrees of freedom which can occur in real vehicle doors was considered using a stiffness model which utilize an analysis model. The analysis model was verified using 3D scanning of real vehicle door hinge deformation. Then, system model which applying the structural analysis model suggested the final adjustment amount of the hinge mounting to obtain the target door gap and the level difference by inputting the measured value. The proposed system was validated using the simulation and showed a reliability in vehicle hinge mounting compensation process. This study suggests the possibility of using the CAE analysis for setting values of hinge mounting compensation in actual vehicle production.
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